Improving automotive safety by pairing driver emotion and car voice emotion
Abstract
This study examines whether characteristics of a car voice can affect driver performance and affect. In a 2 (driver emotion: happy or upset) x 2 (car voice emotion: energetic vs. subdued) experimental study, participants (N=40) had emotion induced through watching one of two sets of 5-minute video clips. Participants then spent 20 minutes in a driving simulator where a voice in the car spoke 36 questions (e.g., "How do you think that the car is performing?") and comments ("My favorite part of this drive is the lighthouse.") in either an energetic or subdued voice. Participants were invited to interact with the car voice. When user emotion matched car voice emotion (happy/energetic and upset/subdued), drivers had fewer accidents, attended more to the road (actual and perceived), and spoke more to the car. Implications for car design and voice user interface design are discussed.
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Matching a driver's emotion to a car's voice-based emotion led to better performance in a driving simulator.
“Nass et al. (2005) found that matching a driver's emotion to a car's voicebased emotion led to better performance in a driving simulator.”
From Building a Stronger CASA: Extending the Computers Are Social Actors Paradigm (2020) · cites this paper as Nass et al., 2005
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Sanghavi, H. K., Zhang, Y., & Jeon, M. (2022) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2022.102979 · Cited by 20 · see citing works
Affect, Attention, and Automation
Lee, J. D. (2006) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195305722.003.0006 · Cited by 20 · see citing works
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Atmaja, B. T., & Akagi, M. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2004.02355 · Cited by 20 · see citing works
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Wang, J., Liu, Y., Yue, T., Wang, C., Mao, J., Wang, Y., & You, F. (2021) · Sensors · doi:10.3390/s21175722 · Cited by 19 · see citing works
- Authors
- Nass, C., Jonsson, I.-M., Harris, H., Reaves, B., Endo, J., Brave, S., & Takayama, L.
- Affiliations
- Stanford University (US)
- Toyota Information Technology Center, Palo Alto, CA
- Venue
- CHI '05 Extended Abstracts on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2005-04-02
- Pages
- 1973-1976
- OpenAlex
- W2164809575
- Cited by
- 249
- References
- 10
- Citations by year
- 2026: 6 · 2025: 18 · 2024: 17 · 2023: 8 · 2022: 17 · 2021: 25 · 2020: 18 · 2019: 26 · 2018: 14 · 2017: 15 · 2016: 5 · 2015: 11 · 2014: 16 · 2013: 7 · 2012: 7
- FWCI
- 8.52
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Keywords
- driver emotions, voice user interface, driving performance, road safety, driver attention, tone of voice, in-vehicle interaction, driver-vehicle interaction
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